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Lấy mẫu Quả cầu tuyết có trọng số×Lấy mẫu "quả cầu tuyết" thích ứng×
Lĩnh vựcPhương pháp luận khảo sátPhương pháp luận khảo sát
HọProcess / pipelineProcess / pipeline
Năm ra đời19971990s–2000s (as combined approach)
Người khởi xướngDouglas D. Heckathorn (formal probability-weighted variant)Combines principles from S. K. Thompson (adaptive sampling, 1990) and L. A. Goodman (snowball sampling, 1961)
LoạiProbability-adjusted chain-referral samplingNon-probability / adaptive sampling design
Công trình gốcHeckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI ↗
Tên gọi khácweight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral samplingadaptive referral sampling, adaptive chain-referral sampling, dynamic snowball sampling
Liên quan54
Tóm tắtWeighted snowball sampling is a chain-referral technique in which participants recruit peers from a hidden or hard-to-reach population, and differential inclusion probabilities are estimated and corrected through statistical weights. Unlike basic snowball sampling, the weighting step allows approximately unbiased population estimates, bridging the gap between convenience-driven recruitment and probability-based inference.Adaptive snowball sampling is a hybrid sampling strategy that recruits initial participants (seeds) from a target population and then dynamically adjusts referral chains based on pre-specified criteria — such as population density, diversity, or theoretical saturation. Combining the chain-referral logic of snowball sampling with the responsive decision rules of adaptive sampling, it is particularly suited to studying rare, hidden, or hard-to-reach populations where conventional frames are unavailable.
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ScholarGateSo sánh phương pháp: Weighted Snowball Sampling · Adaptive Snowball Sampling. Truy cập ngày 2026-06-18 từ https://scholargate.app/vi/compare